Location-aware discovery of services in the IoT: a Swarm approach

P. Calcina-Ccori, L. C. C. D. Biase, Carlos Oliveira, Geovane Fedrecheski, F. S. C. D. Silva, M. Zuffo
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引用次数: 2

Abstract

The vast number of devices connected to the IoT leverages cyber-physical systems, where the device location is used to properly take advantage of the device environment. Service-oriented architectures for the IoT converge with the need for locating physical devices, and more enabling technologies are required to leverage the development of real world use cases.In this work we propose a location-aware discovery mechanism for the IoT, based on a decentralized service-oriented platform called Swarm. The Swarm uses Semantic Web technologies for device communication and we extended that model to describe the geolocation information of services in a network of IoT devices. We describe in detail our architecture and implementation. As a result, we created a reference implementation of the complete mechanism, and tested it in a personal assistant scenario that recruits services based on their location.
物联网中服务的位置感知发现:蜂群方法
连接到物联网的大量设备利用网络物理系统,其中设备位置用于正确利用设备环境。面向服务的物联网体系结构与定位物理设备的需求融合在一起,需要更多的支持技术来利用现实世界用例的开发。在这项工作中,我们提出了一种基于分布式服务平台Swarm的物联网位置感知发现机制。Swarm使用语义Web技术进行设备通信,我们扩展了该模型来描述物联网设备网络中服务的地理位置信息。我们将详细描述我们的体系结构和实现。因此,我们创建了完整机制的参考实现,并在基于位置招聘服务的个人助理场景中对其进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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